## Summary Fix `on_bad_vectors="fill"` so it replaces only invalid or missing vector values instead of replacing the entire vector row. Fixes #3026. ## Reasoning The old Python sanitizer detected whether a vector row was bad at row granularity. For `fill`, it then used that row-level flag to replace the whole vector with `[fill_value] * dim`. That meant an input like `[1.0, NaN, 3.0]` became `[0.0, 0.0, 0.0]`, even though the documented and more useful behavior is to preserve valid values and fill only the bad element. I checked whether this should be a Rust-side fix so TypeScript users would benefit too. Today, Rust core exposes `NaNVectorBehavior::{Error, Keep}` for rejecting or keeping NaN vectors, while the Python `on_bad_vectors` API (`error`, `drop`, `fill`, `null`) is implemented in the Python ingestion sanitizer before data reaches Rust. TypeScript does not expose the Python `on_bad_vectors="fill"` behavior today. Moving this exact behavior to Rust would be a broader cross-language API change, so this PR keeps the fix scoped to the currently affected Python API. ## What changed - Added a small helper that fills bad vector rows by preserving valid elements, replacing NaN elements with `fill_value`, truncating vectors longer than the expected dimension, and padding short vectors with `fill_value`. - Kept the existing fast path unchanged: the helper only runs after bad vectors are detected and `on_bad_vectors="fill"` is selected. - Updated sanitizer and table tests to assert element-wise NaN replacement and short-vector padding for both `create_table` and `add`. ## Validation - `uv run ruff format .` - `uv run ruff check .` - `cd python && uv run --no-sync pytest python/tests/test_util.py::test_handle_bad_vectors_jagged python/tests/test_util.py::test_handle_bad_vectors_nan python/tests/test_table.py::test_create_with_nans python/tests/test_table.py::test_add_with_nans -vv` Targeted pytest result: `10 passed`. ## Why this fix is Python-side (and not Rust) The problematic behavior lives in Python’s `on_bad_vectors` sanitizer, before data is handed off to Rust. Rust currently only exposes `NaNVectorBehavior::{Error, Keep}` for add operations, while Python has the richer `on_bad_vectors={"error","drop","fill","null"}` API. TypeScript does not currently expose the Python-style fill behavior, so moving this exact fix into Rust would require designing a broader cross-language bad-vector handling API. This PR keeps the change scoped to the existing affected surface: Python’s `on_bad_vectors="fill"` path. This way, Python users immediately benefit.
The Multimodal AI Lakehouse
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The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
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Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
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Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
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Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
